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1  <ul><li>  <ul><li>
2  R. Abernathey, D. Ferreira, and A. Klocker, 2013: Diagnostics of eddy  M. Azaneu, R. Kerr, and M. Mata,
3  mixing in a circumpolar channel. Ocean Modelling, submitted.  2014: <a href="http://ecco2.org/manuscripts/2014/Azaneu2014.pdf">
4    Assessment of the ECCO2 reanalysis on the representation of Antarctic
5    Bottom Water properties.</a> Ocean Sci. Discuss., 11, 1023-1091.
6  </li></ul>  </li></ul>
7    
8  <ul><li>  <ul><li>
9  H. Brix, D. Menemenlis, C. Hill, S. Dutkiewicz, O. Jahn, D. Wang, K. Bowman,  M. Buckley, R. Ponte, G. Forget, and P. Heimbach, 2014:
10  and H. Zhang, 2013: Using Green's Functions to initialize and adjust a global,  Low-frequency SST and upper-ocean heat content variability in the North
11  eddying ocean biogeochemistry general circulation model. Ocean Modelling,  Atlantic. J. Clim., 27, 4996-5018.
 submitted.  
12  </li></ul>  </li></ul>
13    
14  <ul><li>  <ul><li>
15  M. Buckley, R. Ponte, G. Forget, and P. Heimbach, 2013:  A. Chaudhuri, R. Ponte, and A. Nguyen, 2014: A comparison of
16  Low-frequency SST and upper-ocean heat content variability in the North  atmospheric reanalysis products for the Arctic Ocean and implications
17  Atlantic. J. Clim., submitted.  for uncertainties in air-sea fluxes, J. Clim., 27, 5411-5421.
18  </li></ul>  </li></ul>
19    
20  <ul><li>  <ul><li>
21  G. Danabasoglu, et al., 2013:  R. Chen, G. Flerl, and C. Wunsch, 2014:
22  North Atlantic simulations in Coordinated Ocean-ice Reference Experiments, phase II (CORE-II): Part I: Mean states.  <a href="http://ecco2.org/manuscripts/2014/Chen2014.pdf"> A
23  Ocean Modelling, submitted.  description of local and nonlocal eddy-mean flow interaction in a
24    global eddy-permitting state estimate. </a> J. Phys. Oceanogr., 44,
25    2336-2352.
26  </li></ul>  </li></ul>
27    
28  <ul><li>  <ul><li>
29  V. Dansereau, P. Heimbach, and M. Losch, 2013: Simulation of sub-ice shelf  H. Dail and C. Wunsch, 2014: Dynamical Reconstruction of Upper-Ocean
30    Conditions in the Last Glacial Maximum Atlantic.  J. Clim., 27, 807–823.
31    </ul></li>
32    
33    <ul><li>
34    G. Danabasoglu, et al., 2014: North Atlantic simulations in Coordinated
35    Ocean-ice Reference Experiments, phase II (CORE-II): Part I: Mean
36    states. Ocean Modelling, 73, 76-107.
37    </li></ul>
38    
39    <ul><li>
40    G. Danabasoglu, R. Curry, P. Heimbach, Y. Kushnir, C. Meinen, R. Msadek,
41    M. Patterson, L. Thompson, S. Yeager, and R. Zhang, 2014: 2013 US AMOC Science
42    Team Annual Report on Progress and Priorities. 162 pp. <a
43    href="https://usclivar.org/sites/default/files/amoc/2014/USAMOC_2013AnnualReport_final.pdf">
44    US CLIVAR Report 2014-4</a>, US CLIVAR Project Office, Washington D.C., 20006.
45    </ul></li>
46    
47    <ul><li>
48    V. Dansereau, P. Heimbach, and M. Losch, 2014: Simulation of sub-ice shelf
49  melt rates in a general circulation model: velocity-dependent transfer and the  melt rates in a general circulation model: velocity-dependent transfer and the
50  role of friction. J. Geophys. Res., submitted.  role of friction.  J. Geophys. Res., 119, 1765-1790.
51    </ul></li>
52    
53    <ul><li>
54    B. Dushaw, 2014:
55    <a href="http://scitation.aip.org/content/asa/journal/jasa/136/1/10.1121/1.4881928?aemail=author">
56    Assessing the horizontal refraction of ocean acoustic tomography
57    signals using high-resolution ocean state estimates.</a>
58    Acoust. Soc. Am., 136, 122.
59  </li></ul>  </li></ul>
60    
61  <ul><li>  <ul><li>
62  B. Dushaw and D. Menemenlis, 2013: Antipodal acoustic thermometry: 1960,  B. Dushaw and D. Menemenlis, 2014:
63  2004. Deep-Sea Rese. I, in press.  <a href="http://ecco2.org/manuscripts/2014/Dushaw2014.pdf">
64    Antipodal acoustic thermometry: 1960, 2004.</a>
65    Deep-Sea Res. I, 86, 1-20.
66  </li></ul>  </li></ul>
67    
68  <ul><li>  <ul><li>
69  A. Kalmikov and P. Heimbach, 2013: A Hessian-based method for Uncertainty  P. Heimbach, F. Straneo, O. Sergienko, and G. Hamilton, 2014:
70    International workshop on understanding the response of Greenlands marine-terminating glaciers to oceanic and atmospheric forcing: Challenges to improving observations, process understanding and modeling. June 4-7, 2013, Beverly, MA, USA.
71    <a href="http://www.usclivar.org/sites/default/files/documents/2014/2013GRISOWorkshopReport_v2_0.pdf">US CLIVAR Report 2014-1</a>, US CLIVAR Project Office, Washington DC, 20006.
72    </ul></li>
73    
74    <ul><li>
75    A. Kalmikov and P. Heimbach, 2014: A Hessian-based method for Uncertainty
76  Quantification in Global Ocean State Estimation. SIAM J. Scientific Computing  Quantification in Global Ocean State Estimation. SIAM J. Scientific Computing
77  (Special Section on Planet Earth and Big Data), submitted.  (Special Section on Planet Earth and Big Data), 36, S267–S295.
78    </li></ul>
79    
80    <ul><li>
81    J. Liu, K. Bowman, M. Lee, D. Henze, N. Bousserez, H. Brix,
82    G. Collatz, D. Menemenlis, L. Ott, S. Pawson, D. Jones, and R. Nassar,
83    2014: <a href="http://www.tellusb.net/index.php/tellusb/article/view/22486">
84    Carbon monitoring system flux estimation and attribution: Impact of
85    ACOS-GOSAT XCO2 sampling on the inference of terrestrial biospheric
86    sources and sinks.</a> Tellus B, 66, 22486.
87  </li></ul>  </li></ul>
88    
89  <ul><li>  <ul><li>
90  M. Morlighem, E. Rignot, J. Mouginot, X. Wu, H. Seroussi, E. Larour, and  M. Losch, V. Strass, B. Cisewski, C. Klaas, and R. Bellerby, 2014:
91  J. Paden, 2013: Bed topography of Russell Glacier, Greenland, inferred from  <a href="http://ecco2.org/manuscripts/2014/Losch2014.pdf">
92  mass conservation using Operation IceBridge data. J. Glaciol., submitted.  Ocean state estimation from hydrography and velocity observations
93    during EIFEX with a regional biogeochemical ocean circulation
94    model.</a> J. Mar. Syst., 129, 437-451.
95  </li></ul>  </li></ul>
96    
97  <ul><li>  <ul><li>
98  M. Morlighem, H. Seroussi, E. Larour and E. Rignot, 2013: Inversion of basal  C. Piecuch and R. Ponte, 2014: Mechanisms of global mean steric sea
99  friction in Antarctica using exact and incomplete adjoints of a higher-order  level change.  J. Clim., 27, 824-834.
 model, J. Geophys. Res., submitted.  
100  </li></ul>  </li></ul>
101    
102  <ul><li>  <ul><li>
103  F. Roquet, C. Wunsch, G. Forget, P. Heimbach, et al., 2013:  R. Ponte, and C. Piecuch, 2014: Interannual bottom pressure signals
104  On the contribution of seal hydrographic data to the Southern Ocean Observing  in the Australian-Antarctic and Bellingshausen Basins. J. Phys. Oceanogr.,
105  System. Proc. Natl. Acad. Sci. USA, submitted.  44, 1456-1465.
106    </li></ul>
107    
108    <ul><li>
109    R. Sciascia, C. Cenedese, D. Nicoli, P. Heimbach, and F. Straneo, 2014: Impact
110    of periodic intermediary flows on submarine melting of a Greenland glacier.
111    J. Geophys. Res., 119, 7078-7098.
112    </ul></li>
113    
114    <ul><li>
115    H. Seroussi, M. Morlighem, E. Rignot, J. Mouginot, E. Larour,
116    M. Schodlok, and A. Khazendar,
117    2014: <a href="http://ecco2.org/manuscripts/2014/Seroussi2014.pdf">
118    Sensitivity of the dynamics of Pine Island Glacier, West Antarctica,
119    to climate forcing for the next 50 years.</a> The Cryosphere, 8,
120    1699-1710.
121  </li></ul>  </li></ul>
122    
123  <ul><li>  <ul><li>
124  G. Spreen, R. Kwok, D. Menemenlis, and A. Nguyen, 2013: Sea ice  N. Vinogradova,  R. Ponte, I. Fukumori, and O. Wang, 2014:
125  deformation in a coupled ocean-sea ice model and in satellite remote  Estimating satellite salinity errors for assimilation of Aquarius and SMOS
126  sensing data. J. Geophys. Res., submitted.  data into climate models. J. Geophys. Res., 119.
127  </li></ul>  </li></ul>
128    
129  <ul><li>  <ul><li>
130  C. Wortham and C. Wunsch, 2013: A multi-dimensional spectral description of  C. Wortham and C. Wunsch, 2014: A multi-dimensional spectral description of
131  ocean variability, submitted.  ocean variability, J. Phys. Oceanogr., 44, 944-966.
132  </li></ul>  </li></ul>
133    
134  <ul><li>  <ul><li>
135  C. Wunsch, 2013: Bidecadal thermal changes in the abyssal ocean and the  C. Wunsch and P. Heimbach, 2014: Bidecadal Thermal Changes in the
136  observational challenge, submitted.  Abyssal Ocean. J. Phys. Oceanogr., 44, 2013-2030.
137  </li></ul>  </li></ul>

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